Decoding the future @ Litus AI ~ NLP PhD @ Sapienza - Engineer at heart - he/him.

Joined January 2012
3 Photos and videos
Niccolò Campolungo retweeted
📢 It looks like relative representations are here to stay! I'm beyond thrilled to announce that our work has been selected as one of the notable top 5% (oral) papers at #iclr23 ! 🥳 x.com/moschella_luca/status/… [1/5]
Welcome Relative Representations, enabling zero-shot communication between latent spaces without any training! arxiv.org/abs/2209.15430 It turns out that distinct neural networks learn intrinsically equivalent latent spaces [1/6]
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Niccolò Campolungo retweeted
We reframe #MT evaluation as sequence tagging in our #WMT2022 paper: check MaTESe, an interpretable metric that tags error spans in translations! 📜 statmt.org/wmt22/pdf/2022.wm… By @19Stefano97 @LorenzoProiet13 @alescire94 @Valahaar @RNavigli @babelscape @ERC_Research #EMNLP2022
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Niccolò Campolungo retweeted
Great to wake up on a lazy Sunday and see REBEL is still doing numbers. This is the page for top seq2seq models at @huggingface, currently top 12 with 200K monthly downloads. Thank you to whomever is using it and honestly curious to know what people are using it for.
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Niccolò Campolungo retweeted
Interested in reducing semantic bias in NMT models with smart data creation & the KL divergence? Come check out the work by @Valahaar, @pasini_t, @emelin_denis & @RNavigli! Presentation today @ 9.15 PDT / 18.15 CET, session 8D (MT 3) #NAACL2022 📝 aclanthology.org/2022.naacl-…
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Niccolò Campolungo retweeted
machine learning researchers learn to optimise their own best paper rate through collusion and other unregulated mechanisms reddit.com/r/MachineLearning…
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Niccolò Campolungo retweeted
Hey #NLProc, I built this little tool to make working with @huggingface 🤗Transformers a bit easier. If you want to directly access whole-word embeddings hassle-free, give it a try! 👉GitHub: github.com/Riccorl/transform…
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Niccolò Campolungo retweeted
The Rome Workshop on 10 Years of #BabelNet & Multilingual Neurosymbolic Natural Language Understanding was a great success, with productive in-person discussions, amazing talks & >100 online participants! Thanks! @ERC_Research @Babelscape @SapienzaNLP @SapienzaRoma @WikiResearch
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Niccolò Campolungo retweeted
🎉10 Years of #BabelNet Workshop is now over: what a great experience!🎉 Thanks to everyone who participated both in person and online! @SapienzaNLP @babelscape @ERC_Research @AccademiaCrusca @RNavigli #workshop @WikiResearch #BabelNet10anniversary
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I have never clapped my hands as much as I have at the @aclmeeting 2022 Closing Remaks 😂 thank you Bernardo! #ACL2022
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Niccolò Campolungo retweeted
Bravo ragazzi
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Presenting in front of a live audience was an amazing experience :) hope we nailed it! Thanks @aclmeeting
25 May 2022
#acl2022 nlp Best Resource Paper DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation (Niccolò Campolungo, Federico Martelli, Francesco Saina and Roberto Navigli) #acl2022 #NLProc
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Niccolò Campolungo retweeted
🥳 We are proud to share the news that our DiBiMT paper on Disambiguation Biases in MT received the ✨Best Resource Paper Award✨ @aclmeeting #ACL2022! See you there!
Open & commercial Neural Machine Translation models heavily suffer from disambiguation biases! We present DiBiMT, our novel benchmark for lexical-semantic bias in MT at #ACL2022! By @Valahaar @FedeMartelli25 @FrancescoSaina @RNavigli @ELEXIS_EU #NLProc 📝:researchgate.net/publication…
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- (neural) models are pretty confident of their incorrect translations: >90% of the time, they deem their BAD❌ translation better than a GOOD ✅ one! - In neural Transformer models, disambiguation does not seem to be happening on the encoder side 🤔 6/7
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We will present DiBiMT on the 25th, during the Best Paper Oral Session at 14.45 Dublin time! Or, you can come have a chat during Poster Session 6: Resources and Evaluation on the same day, from 10:45 to 12:15! Come say hi 👋😄 7/7
Niccolò Campolungo retweeted
So proud that my former labmates at @SapienzaNLP have been awarded the Best Resource Paper at the #ACL2022 for their work on benchmarking disambiguation in MT! Congrats @Valahaar @FedeMartelli25 @FrancescoSaina @RNavigli
16 May 2022
The Best Paper Awards have just been announced! Congratulations to the authors for their fine work! 2022.aclweb.org/best-paper-a…
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